Exploring the Trade-Off between generalist and specialized Models: A center-based comparative analysis for glioblastoma segmentation.
F Javier Gil-TerrónPablo FerriVíctor Montosa-I-MicóMaría Gómez MahiquesCarles Lopez-MateuPau MartíJuan M García-GómezElies Fuster-GarciaPublished in: International journal of medical informatics (2024)
The influence of dataset shift on model performance is evident. Fine-tuned and specialized models, utilizing data from the evaluated center, outperform generalist models, which rely on data from other centers. These approaches could encourage medical centers to develop customized models for their local use, enhancing the accuracy and reliability of glioblastoma segmentation in a context where dataset shift is inevitable.